unitarylab/quantum-practices/primitives
Claude Code and agent skill by unitarylab/quantum-practices
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Checking that the SKILL.md file is still in the repository.
A collection of fundamental quantum computing primitives implemented using UnitaryLab, including basic gates, state preparation techniques, and measurement protocols. Provides efficient implementations and educational resources for understanding and utilizing quantum primitives in algorithm development. Skill-first for covered code generation, runnable examples, execution, debugging, validation, and fixed workflows.
Install
npx vskill@latest install unitarylab/quantum-practices/primitivesSKILL.md
Quantum Primitives
Purpose
This file routes requests for reusable quantum algorithm building blocks.
Use this category when the user asks about amplitude methods, phase estimation, Hadamard-based routines, or small foundational subroutines that are often embedded inside larger algorithms.
Routing Rules
- If the user asks about Grover-style search, oracle amplification, or increasing marked-state probability:
- Read
./amplitude-amplification/SKILL.md - If the user asks to estimate an unknown amplitude or success probability:
- Read
./amplitude-estimation/SKILL.md - If the user asks to estimate eigenphases, eigenvalues from a unitary, or QPE as a subroutine:
- Read
./quantum-phase-estimation/SKILL.md - If the user asks to estimate expectation values, overlaps, matrix elements, or controlled-unitary measurements:
- Read
./hadamard-test/SKILL.md - If the user asks for the Hadamard layer, Walsh-Hadamard transform, or basis spreading over computational states:
- Read
./hadamard-transform/SKILL.md
Available Leaf Skills
- Amplitude Amplification:
./amplitude-amplification/SKILL.md - Amplitude Estimation:
./amplitude-estimation/SKILL.md - Quantum Phase Estimation:
./quantum-phase-estimation/SKILL.md - Hadamard Test:
./hadamard-test/SKILL.md - Hadamard Transform:
./hadamard-transform/SKILL.md
Response Contract
- Select the matching primitive from the routing rules.
- Read the leaf skill before writing code or commands.
- Keep this file as routing guidance; leave algorithm-specific implementation details to the leaf skill.
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingalgorithms/primitives/SKILL.md
Popularity
- Repository stars
- 18
- Repository forks
- 3
- 7-day trend score
- 20
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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